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Top 23 trading-strategy Open-Source Projects
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awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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financial-machine-learning
A curated list of practical financial machine learning tools and applications.
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quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
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Crypto-Signal
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
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Superalgos
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
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vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
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PyThalesians
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
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Krypto-trading-bot
Self-hosted crypto trading bot (automated high frequency market making) written in C++
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crypto-trading-bot
Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance, Bybit ... (public edition)
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awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. (by paperswithbacktest)
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Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
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DataFrame
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
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blankly
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
No, it looks more like a Rust equivalent of libraries like ffn (financial functions for python) or many of the other ones listed here https://github.com/wilsonfreitas/awesome-quant
Using rust to do exploratory analysis in python seems like a misguided idea. But using rust to productize models that have performance and accuracy sensitivities, the things that C/C++ is still used for, indeed sounds like a good idea.
Most of the python libraries used in finance, like numpy/pandas, call out to C for performance reasons; the libraries are essentially python bindings + syntax to C functions. It would be interesting to think about replacing that backend with rust.
Project mention: Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0 | /r/algoprojects | 2023-11-20
6.) You cant maximize position size of spread options strategies, LEAN always assumes naked margin first and ON THE NEXT DATA FRAME - you get your reg-t margin for spreads. https://github.com/QuantConnect/Lean/issues/5693 We're running into 2 years of this issue being reported.
Project mention: StockSharp: NEW Derivatives and Hedging - star count:6089.0 | /r/algoprojects | 2023-11-10
Project mention: financial-machine-learning: NEW Other Models - star count:5115.0 | /r/algoprojects | 2023-12-10
Project mention: quant-trading: NEW Derivatives and Hedging - star count:4620.0 | /r/algoprojects | 2023-10-28
We chose backtesting.py for a backtesting framework. There are several to choose from but that one seems like the most well-supported and actively worked on at the moment.
Project mention: Krypto-trading-bot: NEW Extended Research - star count:3058.0 | /r/algoprojects | 2023-07-01
Project mention: gs-quant: NEW Derivatives and Hedging - star count:2095.0 | /r/algoprojects | 2023-09-22
Project mention: Awesome-Quant-Machine-Learning-Trading: curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent Other Models - star count:2064.0 | /r/algoprojects | 2023-10-17
Project mention: New multithreaded version of C++ DataFrame was released | news.ycombinator.com | 2024-02-13
trading-strategies related posts
- StockSharp: NEW Derivatives and Hedging - star count:6089.0
- StockSharp: NEW Derivatives and Hedging - star count:6089.0
- quant-trading: NEW Derivatives and Hedging - star count:4620.0
- quant-trading: NEW Derivatives and Hedging - star count:4620.0
- quant-trading: NEW Derivatives and Hedging - star count:4620.0
- gs-quant: NEW Derivatives and Hedging - star count:2095.0
- quant-trading: NEW Derivatives and Hedging - star count:4455.0
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source trading-strategy projects? This list will help you:
Project | Stars | |
---|---|---|
1 | awesome-quant | 15,910 |
2 | machine-learning-for-trading | 11,797 |
3 | Lean | 8,655 |
4 | StockSharp | 6,596 |
5 | financial-machine-learning | 5,522 |
6 | jesse | 5,233 |
7 | quant-trading | 5,171 |
8 | backtesting.py | 4,797 |
9 | Crypto-Signal | 4,701 |
10 | Superalgos | 3,850 |
11 | vectorbt | 3,734 |
12 | PyThalesians | 3,355 |
13 | Krypto-trading-bot | 3,216 |
14 | crypto-trading-bot | 3,039 |
15 | freqtrade-strategies | 3,018 |
16 | zvt | 2,981 |
17 | OctoBot | 2,916 |
18 | awesome-systematic-trading | 2,893 |
19 | eiten | 2,655 |
20 | gs-quant | 2,456 |
21 | Awesome-Quant-Machine-Learning-Trading | 2,430 |
22 | DataFrame | 2,258 |
23 | blankly | 1,967 |
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